| Best model | name | model_type | metric_type | metric_value | train_time |
|---|---|---|---|---|---|
| 1_DecisionTree | Decision Tree | rmse | 0.17655 | 0.68 | |
| 2_Baseline | Baseline | rmse | 0.705007 | 0.69 | |
| 3_DecisionTree | Decision Tree | rmse | 0.169124 | 0.66 | |
| 4_DecisionTree | Decision Tree | rmse | 0.169124 | 0.65 | |
| 5_Linear | Linear | rmse | 0.185766 | 0.67 | |
| 6_Default_Xgboost | Xgboost | rmse | 0.148858 | 0.79 | |
| 7_Default_NeuralNetwork | Neural Network | rmse | 0.149428 | 0.77 | |
| 8_Default_RandomForest | Random Forest | rmse | 0.115134 | 1.06 | |
| 9_Xgboost | Xgboost | rmse | 0.133685 | 0.85 | |
| 18_RandomForest | Random Forest | rmse | 0.120136 | 1.03 | |
| 27_NeuralNetwork | Neural Network | rmse | 0.170187 | 0.79 | |
| 10_Xgboost | Xgboost | rmse | 0.157346 | 0.79 | |
| 19_RandomForest | Random Forest | rmse | 0.133101 | 1.19 | |
| 28_NeuralNetwork | Neural Network | rmse | 0.168559 | 0.77 | |
| 11_Xgboost | Xgboost | rmse | 0.188765 | 0.86 | |
| 20_RandomForest | Random Forest | rmse | 0.131749 | 1.13 | |
| 29_NeuralNetwork | Neural Network | rmse | 0.182241 | 0.75 | |
| 12_Xgboost | Xgboost | rmse | 0.700421 | 0.78 | |
| 21_RandomForest | Random Forest | rmse | 0.155729 | 1.05 | |
| 30_NeuralNetwork | Neural Network | rmse | 0.170635 | 0.73 | |
| 13_Xgboost | Xgboost | rmse | 0.274347 | 0.9 | |
| 22_RandomForest | Random Forest | rmse | 0.117702 | 1.03 | |
| 31_NeuralNetwork | Neural Network | rmse | 0.228088 | 0.73 | |
| 14_Xgboost | Xgboost | rmse | 0.150953 | 0.8 | |
| 23_RandomForest | Random Forest | rmse | 0.135651 | 1.1 | |
| 32_NeuralNetwork | Neural Network | rmse | 0.207833 | 0.75 | |
| 15_Xgboost | Xgboost | rmse | 0.148054 | 0.82 | |
| 24_RandomForest | Random Forest | rmse | 0.167455 | 1.41 | |
| 33_NeuralNetwork | Neural Network | rmse | 0.227885 | 0.76 | |
| 16_Xgboost | Xgboost | rmse | 0.182733 | 0.8 | |
| 25_RandomForest | Random Forest | rmse | 0.134702 | 1.05 | |
| 34_NeuralNetwork | Neural Network | rmse | 0.451462 | 0.77 | |
| 17_Xgboost | Xgboost | rmse | 0.174338 | 0.84 | |
| 26_RandomForest | Random Forest | rmse | 0.127359 | 1.08 | |
| 35_NeuralNetwork | Neural Network | rmse | 0.243122 | 0.76 | |
| 8_Default_RandomForest_GoldenFeatures | Random Forest | rmse | 0.123566 | 7.67 | |
| 22_RandomForest_GoldenFeatures | Random Forest | rmse | 0.136833 | 1.46 | |
| 18_RandomForest_GoldenFeatures | Random Forest | rmse | 0.135679 | 1.12 | |
| 8_Default_RandomForest_KMeansFeatures | Random Forest | rmse | 0.12095 | 1.28 | |
| 22_RandomForest_KMeansFeatures | Random Forest | rmse | 0.118526 | 1.25 | |
| 18_RandomForest_KMeansFeatures | Random Forest | rmse | 0.118778 | 1.23 | |
| 8_Default_RandomForest_RandomFeature | Random Forest | rmse | 0.119407 | 5.55 | |
| 36_RandomForest | Random Forest | rmse | 0.115134 | 1.53 | |
| 37_RandomForest | Random Forest | rmse | 0.114405 | 1.09 | |
| 38_RandomForest | Random Forest | rmse | 0.164353 | 1.09 | |
| 39_RandomForest | Random Forest | rmse | 0.117702 | 1.13 | |
| 40_RandomForest | Random Forest | rmse | 0.118526 | 1.24 | |
| 41_RandomForest | Random Forest | rmse | 0.125044 | 1.79 | |
| 42_Xgboost | Xgboost | rmse | 0.132654 | 1.06 | |
| 43_Xgboost | Xgboost | rmse | 0.134524 | 0.96 | |
| 44_Xgboost | Xgboost | rmse | 0.149779 | 0.92 | |
| 45_Xgboost | Xgboost | rmse | 0.146899 | 0.9 | |
| 46_Xgboost | Xgboost | rmse | 0.149926 | 0.89 | |
| 47_NeuralNetwork | Neural Network | rmse | 0.263983 | 0.81 | |
| 48_NeuralNetwork | Neural Network | rmse | 0.159261 | 0.83 | |
| 49_NeuralNetwork | Neural Network | rmse | 0.173453 | 0.88 | |
| 50_NeuralNetwork | Neural Network | rmse | 0.194293 | 0.82 | |
| 51_DecisionTree | Decision Tree | rmse | 0.141352 | 0.75 | |
| 52_RandomForest | Random Forest | rmse | 0.116809 | 1.13 | |
| 53_RandomForest | Random Forest | rmse | 0.114405 | 1.18 | |
| 54_RandomForest | Random Forest | rmse | 0.116578 | 1.16 | |
| 55_RandomForest | Random Forest | rmse | 0.115134 | 1.17 | |
| 56_RandomForest | Random Forest | rmse | 0.116578 | 1.21 | |
| 57_RandomForest | Random Forest | rmse | 0.115134 | 1.2 | |
| 58_Xgboost | Xgboost | rmse | 0.165005 | 0.93 | |
| 59_Xgboost | Xgboost | rmse | 0.164295 | 0.94 | |
| 60_Xgboost | Xgboost | rmse | 0.164177 | 0.94 | |
| 61_NeuralNetwork | Neural Network | rmse | 0.152606 | 0.86 | |
| 62_NeuralNetwork | Neural Network | rmse | 0.241705 | 0.86 | |
| 63_NeuralNetwork | Neural Network | rmse | 0.265339 | 0.87 | |
| 64_NeuralNetwork | Neural Network | rmse | 0.215439 | 0.89 | |
| the best | Ensemble | Ensemble | rmse | 0.0971189 | 8.26 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.130615 |
| MSE | 0.0247578 |
| RMSE | 0.157346 |
| R2 | 0.947665 |
| MAPE | 0.222804 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.13997 |
| MSE | 0.0356321 |
| RMSE | 0.188765 |
| R2 | 0.924679 |
| MAPE | 0.20243 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.594858 |
| MSE | 0.49059 |
| RMSE | 0.700421 |
| R2 | -0.037042 |
| MAPE | 1.71653 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.220566 |
| MSE | 0.0752663 |
| RMSE | 0.274347 |
| R2 | 0.840897 |
| MAPE | 0.359979 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.095322 |
| MSE | 0.0227869 |
| RMSE | 0.150953 |
| R2 | 0.951831 |
| MAPE | 0.120676 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.10817 |
| MSE | 0.0219201 |
| RMSE | 0.148054 |
| R2 | 0.953664 |
| MAPE | 0.176568 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.153385 |
| MSE | 0.0333913 |
| RMSE | 0.182733 |
| R2 | 0.929415 |
| MAPE | 0.303535 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.125691 |
| MSE | 0.0303938 |
| RMSE | 0.174338 |
| R2 | 0.935752 |
| MAPE | 0.174874 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.0787661 |
| MSE | 0.0144327 |
| RMSE | 0.120136 |
| R2 | 0.969491 |
| MAPE | 0.127654 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.108199 |
| MSE | 0.0184088 |
| RMSE | 0.135679 |
| R2 | 0.961086 |
| MAPE | 0.185091 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.081461 |
| MSE | 0.0141083 |
| RMSE | 0.118778 |
| R2 | 0.970177 |
| MAPE | 0.109689 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.104263 |
| MSE | 0.0177158 |
| RMSE | 0.133101 |
| R2 | 0.962551 |
| MAPE | 0.183676 |
rmse
0.3 seconds
| Metric | Score |
|---|---|
| MAE | 0.131637 |
| MSE | 0.0311699 |
| RMSE | 0.17655 |
| R2 | 0.934111 |
| MAPE | 0.172075 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.10135 |
| MSE | 0.0173577 |
| RMSE | 0.131749 |
| R2 | 0.963308 |
| MAPE | 0.170388 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.117754 |
| MSE | 0.0242514 |
| RMSE | 0.155729 |
| R2 | 0.948736 |
| MAPE | 0.157697 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.0927415 |
| MSE | 0.0138537 |
| RMSE | 0.117702 |
| R2 | 0.970715 |
| MAPE | 0.164684 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.101714 |
| MSE | 0.0187234 |
| RMSE | 0.136833 |
| R2 | 0.960421 |
| MAPE | 0.150585 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.0924999 |
| MSE | 0.0140483 |
| RMSE | 0.118526 |
| R2 | 0.970304 |
| MAPE | 0.151346 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.105603 |
| MSE | 0.0184012 |
| RMSE | 0.135651 |
| R2 | 0.961102 |
| MAPE | 0.167615 |
rmse
1.1 seconds
| Metric | Score |
|---|---|
| MAE | 0.138688 |
| MSE | 0.0280412 |
| RMSE | 0.167455 |
| R2 | 0.940725 |
| MAPE | 0.273533 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.0973455 |
| MSE | 0.0181446 |
| RMSE | 0.134702 |
| R2 | 0.961645 |
| MAPE | 0.149103 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0925177 |
| MSE | 0.0162203 |
| RMSE | 0.127359 |
| R2 | 0.965712 |
| MAPE | 0.129933 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.137488 |
| MSE | 0.0289635 |
| RMSE | 0.170187 |
| R2 | 0.938775 |
| MAPE | 0.236707 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.142225 |
| MSE | 0.0284123 |
| RMSE | 0.168559 |
| R2 | 0.93994 |
| MAPE | 0.188888 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.143213 |
| MSE | 0.0332119 |
| RMSE | 0.182241 |
| R2 | 0.929795 |
| MAPE | 0.20136 |
rmse
0.3 seconds
| Metric | Score |
|---|---|
| MAE | 0.592346 |
| MSE | 0.497034 |
| RMSE | 0.705007 |
| R2 | -0.0506644 |
| MAPE | 1.74671 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.137924 |
| MSE | 0.0291162 |
| RMSE | 0.170635 |
| R2 | 0.938452 |
| MAPE | 0.212513 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.179881 |
| MSE | 0.0520242 |
| RMSE | 0.228088 |
| R2 | 0.890028 |
| MAPE | 0.290209 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.158705 |
| MSE | 0.0431947 |
| RMSE | 0.207833 |
| R2 | 0.908692 |
| MAPE | 0.271079 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.180783 |
| MSE | 0.0519316 |
| RMSE | 0.227885 |
| R2 | 0.890223 |
| MAPE | 0.313883 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.400978 |
| MSE | 0.203818 |
| RMSE | 0.451462 |
| R2 | 0.569155 |
| MAPE | 0.731695 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.18495 |
| MSE | 0.0591081 |
| RMSE | 0.243122 |
| R2 | 0.875053 |
| MAPE | 0.375463 |
rmse
1.2 seconds
| Metric | Score |
|---|---|
| MAE | 0.0843126 |
| MSE | 0.0132558 |
| RMSE | 0.115134 |
| R2 | 0.971979 |
| MAPE | 0.155232 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0838224 |
| MSE | 0.0130884 |
| RMSE | 0.114405 |
| R2 | 0.972333 |
| MAPE | 0.146939 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.116443 |
| MSE | 0.0270119 |
| RMSE | 0.164353 |
| R2 | 0.9429 |
| MAPE | 0.135821 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0927415 |
| MSE | 0.0138537 |
| RMSE | 0.117702 |
| R2 | 0.970715 |
| MAPE | 0.164684 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.126476 |
| MSE | 0.028603 |
| RMSE | 0.169124 |
| R2 | 0.939537 |
| MAPE | 0.160964 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.0924999 |
| MSE | 0.0140483 |
| RMSE | 0.118526 |
| R2 | 0.970304 |
| MAPE | 0.151346 |
rmse
1.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.0918254 |
| MSE | 0.0156361 |
| RMSE | 0.125044 |
| R2 | 0.966947 |
| MAPE | 0.150041 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.0940071 |
| MSE | 0.0175972 |
| RMSE | 0.132654 |
| R2 | 0.962802 |
| MAPE | 0.161375 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.0970104 |
| MSE | 0.0180967 |
| RMSE | 0.134524 |
| R2 | 0.961746 |
| MAPE | 0.149916 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.109262 |
| MSE | 0.0224338 |
| RMSE | 0.149779 |
| R2 | 0.952578 |
| MAPE | 0.191348 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.120128 |
| MSE | 0.0215793 |
| RMSE | 0.146899 |
| R2 | 0.954384 |
| MAPE | 0.178894 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.124938 |
| MSE | 0.0224777 |
| RMSE | 0.149926 |
| R2 | 0.952485 |
| MAPE | 0.194198 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.22142 |
| MSE | 0.0696868 |
| RMSE | 0.263983 |
| R2 | 0.852691 |
| MAPE | 0.337874 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.126621 |
| MSE | 0.0253641 |
| RMSE | 0.159261 |
| R2 | 0.946384 |
| MAPE | 0.224026 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.146147 |
| MSE | 0.0300858 |
| RMSE | 0.173453 |
| R2 | 0.936403 |
| MAPE | 0.192723 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.126476 |
| MSE | 0.028603 |
| RMSE | 0.169124 |
| R2 | 0.939537 |
| MAPE | 0.160964 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.166216 |
| MSE | 0.0377496 |
| RMSE | 0.194293 |
| R2 | 0.920202 |
| MAPE | 0.256102 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.11118 |
| MSE | 0.0199803 |
| RMSE | 0.141352 |
| R2 | 0.957764 |
| MAPE | 0.162812 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0865903 |
| MSE | 0.0136444 |
| RMSE | 0.116809 |
| R2 | 0.971158 |
| MAPE | 0.148416 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.0838224 |
| MSE | 0.0130884 |
| RMSE | 0.114405 |
| R2 | 0.972333 |
| MAPE | 0.146939 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0850019 |
| MSE | 0.0135904 |
| RMSE | 0.116578 |
| R2 | 0.971272 |
| MAPE | 0.155688 |
rmse
0.8 seconds
| Metric | Score |
|---|---|
| MAE | 0.0843126 |
| MSE | 0.0132558 |
| RMSE | 0.115134 |
| R2 | 0.971979 |
| MAPE | 0.155232 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.0850019 |
| MSE | 0.0135904 |
| RMSE | 0.116578 |
| R2 | 0.971272 |
| MAPE | 0.155688 |
rmse
0.9 seconds
| Metric | Score |
|---|---|
| MAE | 0.0843126 |
| MSE | 0.0132558 |
| RMSE | 0.115134 |
| R2 | 0.971979 |
| MAPE | 0.155232 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.111092 |
| MSE | 0.0272266 |
| RMSE | 0.165005 |
| R2 | 0.942447 |
| MAPE | 0.1912 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.109982 |
| MSE | 0.0269927 |
| RMSE | 0.164295 |
| R2 | 0.942941 |
| MAPE | 0.192073 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.146459 |
| MSE | 0.0345089 |
| RMSE | 0.185766 |
| R2 | 0.927053 |
| MAPE | 0.207643 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.107472 |
| MSE | 0.0269541 |
| RMSE | 0.164177 |
| R2 | 0.943023 |
| MAPE | 0.190765 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.136301 |
| MSE | 0.0232886 |
| RMSE | 0.152606 |
| R2 | 0.950771 |
| MAPE | 0.272521 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.202144 |
| MSE | 0.0584212 |
| RMSE | 0.241705 |
| R2 | 0.876505 |
| MAPE | 0.431875 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.210344 |
| MSE | 0.0704049 |
| RMSE | 0.265339 |
| R2 | 0.851173 |
| MAPE | 0.517394 |
rmse
0.6 seconds
| Metric | Score |
|---|---|
| MAE | 0.164225 |
| MSE | 0.0464141 |
| RMSE | 0.215439 |
| R2 | 0.901887 |
| MAPE | 0.209525 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.121623 |
| MSE | 0.0221588 |
| RMSE | 0.148858 |
| R2 | 0.953159 |
| MAPE | 0.179401 |
rmse
0.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.111691 |
| MSE | 0.0223287 |
| RMSE | 0.149428 |
| R2 | 0.9528 |
| MAPE | 0.177171 |
rmse
0.7 seconds
| Metric | Score |
|---|---|
| MAE | 0.0843126 |
| MSE | 0.0132558 |
| RMSE | 0.115134 |
| R2 | 0.971979 |
| MAPE | 0.155232 |
rmse
7.4 seconds
| Metric | Score |
|---|---|
| MAE | 0.10005 |
| MSE | 0.0152685 |
| RMSE | 0.123566 |
| R2 | 0.967724 |
| MAPE | 0.163106 |
rmse
1.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.0863058 |
| MSE | 0.014629 |
| RMSE | 0.12095 |
| R2 | 0.969076 |
| MAPE | 0.14072 |
rmse
5.0 seconds
| Metric | Score |
|---|---|
| MAE | 0.0858314 |
| MSE | 0.014258 |
| RMSE | 0.119407 |
| R2 | 0.96986 |
| MAPE | 0.144907 |
rmse
0.5 seconds
| Metric | Score |
|---|---|
| MAE | 0.0939143 |
| MSE | 0.0178716 |
| RMSE | 0.133685 |
| R2 | 0.962222 |
| MAPE | 0.158601 |
| Model | Weight |
|---|---|
| 12_Xgboost | 5 |
| 18_RandomForest | 10 |
| 25_RandomForest | 6 |
| 26_RandomForest | 2 |
| 34_NeuralNetwork | 4 |
| 37_RandomForest | 3 |
| 43_Xgboost | 1 |
| 51_DecisionTree | 6 |
| 5_Linear | 24 |
| 61_NeuralNetwork | 4 |
| 7_Default_NeuralNetwork | 1 |
| 8_Default_RandomForest_GoldenFeatures | 4 |
| Metric | Score |
|---|---|
| MAE | 0.0729458 |
| MSE | 0.00943209 |
| RMSE | 0.0971189 |
| R2 | 0.980062 |
| MAPE | 0.160801 |